Genetic analysis of tropical maize inbred lines for resistance to maize lethal necrosis disease

被引:0
作者
Yoseph Beyene
Manje Gowda
L. M. Suresh
Stephen Mugo
Michael Olsen
Sylvester O. Oikeh
Collins Juma
Amsal Tarekegne
Boddupalli M. Prasanna
机构
[1] International Maize and Wheat Improvement Center (CIMMYT),
[2] African Agricultural Technology Foundation (AATF),undefined
[3] International Maize and Wheat Improvement Center (CIMMYT),undefined
来源
Euphytica | 2017年 / 213卷
关键词
Artificial inoculation; Combining ability; Diallel mating; Maize; MLN resistance;
D O I
暂无
中图分类号
学科分类号
摘要
Maize lethal necrosis (MLN) disease is a recent outbreak in eastern Africa and has emerged as a significant threat to maize production in the region. The disease is caused by the co-infection of Maize chlorotic mottle virus and any member of potyviridae family. A total of 28 maize inbred lines with varying levels of tolerance to MLN were crossed in a half-diallel mating design, and the resulting 340 F1 crosses and four commercial checks were evaluated under MLN artificial inoculation at Naivasha, Kenya in 2015 and 2016 using an alpha lattice design with two replications. The objectives of the study were to (i) investigate the magnitude of general combining ability variance (σGCA2) and specific combining ability variance (σSCA2) and their interaction with years; (ii) evaluate the efficiencies of GCA based prediction and hybrid performance by means of a cross-validation procedure; (iii) estimate trait correlations in the hybrids; and (iv) identify the MLN tolerant single cross hybrids to be used as female parents for three-way cross hybrids. Results of the combined analysis of variance revealed that both GCA and SCA effects were significant (P < 0.05) for all traits except for ear rot. For MLN scores at early and late stages, GCA effects were 2.5–3.5 times higher than SCA effects indicating that additive gene action is more important than non-additive gene action. The GCA based prediction efficiency for MLN resistance and grain yield accounted for 67–90% of the variations in the hybrid performance suggesting that GCA-based prediction can be proposed to predict MLN resistance and grain yield prior to field evaluation. Three parents, CKDHL120918, CML550, and CKLTI0227 with significant GCA effects for GY (0.61–1.21; P < 0.05) were the most resistant to MLN. Hybrids “CKLTI0227 × CML550”, “CKDHL120918 × CKLTI0138”, and “CKDHL120918 × CKLTI0136” ranked among the best performing hybrids with grain yield of 6.0–6.6 t/ha compared with mean yield of commercial check hybrids (0.6 t/ha). The MLN tolerant inbred lines and single cross hybrids identified in this study could be used to improve MLN tolerance in both public and private sector maize breeding programs in eastern Africa.
引用
收藏
相关论文
共 83 条
[21]  
Kim SK(2015) infecting maize in the democratic Republic of the Congo Phytopathology 105 956-undefined
[22]  
Logrono ML(1989)Maize lethal necrosis (MLN), an emerging threat to maize-based food security in sub-Saharan Africa Mol Plant Microbe Interact 2 309-undefined
[23]  
Cabanas D(1987)The linkage of molecular markers to a gene controlling the symptom response in maize to maize dwarf mosaic virus Theor Appl Genet 74 339-undefined
[24]  
Watanabe S(1978)Optimum prediction of three-way crosses from single crosses in forage maize ( Phytopathology 68 1071-undefined
[25]  
Higashi CHV(2011) L.) Plant Dis 79 1-undefined
[26]  
Bressan A(1978)Transmission of maize chlorotic mottle virus by chrysomelid beetles Plant Dis Rep 62 15-undefined
[27]  
Castillo J(2015)Maize chlorotic mottle Crop Sci 55 1449-undefined
[28]  
Hebert TT(2011)Corn lethal necrosis - a new virus disease of corn in Kansas Food Secur 3 307-undefined
[29]  
De Groote H(1983)Quantitative trait loci mapping and molecular breeding for developing stress resilient maize for sub-Saharan Africa Plant Dis 67 7-undefined
[30]  
Oloo F(2012)Crops that feed the world 6. Past successes and future challenges to the role played by maize in global food security Plant Dis 96 1582-undefined